In this paper, we propose a level set based object detection method for video surveillance which provides for a robust and real-time working object detection under various global illumination conditions. The proposed scheme needs no manual parameter settings for different illumination conditions, which ...
project: GitHub - Edward-Sun/TSP-Detection: Code of ICCV paper: https://arxiv.org/abs/2011.10881 TL; DR DETR需要训练500 epochs,在8 V100 GPUs上至少训练10天才能收敛;Faster RCNN只需训练30 epochs。本文实验表明 1)Hungarian loss 和2)Transformer cross attention机制是导致DETR收敛慢的主要原因,并针对...
图2:我们提出的语义增强集合抽象(SASA)层的结构。在原有SA层设计的基础上,我们增加了一个点分割模块,用于将输入的点特征映射到二进制分割掩码,并通过我们的语义引导的最远点采样(S-FPS)来更新点采样算法。点的语义标签来自于groundtruth盒,所有的点分割模块都以端到端的方式用分割损失函数进行优化。 2相关工作 ...
This project is built withOpenPCDet(version0.3), a powerful toolbox for LiDAR-based 3D object detection. Please refer toOpenPCDet.mdand theofficial github repositoryfor more information. License This project is released under theApache 2.0 license. ...
Global Illumination Invariant Object Detection With Level Set Based Bimodal Segmentation Suk-Ho Lee, Hyenkyun Woo, and Moon Gi Kang, Member, IEEE Abstract—In this letter, we propose a new detection method for video surveillance which provides for a robust and real-time working object detection ...
3.2. Text detection For this step, an image containing the candidate text components is received as input. Inspired by earlier work [[38], [39], [40]] where the object-instance segmentation using a GCN has been explored successfully, the authors propose the use of a GCN to extract feature...
Contour-based object detection can be formulated as a matching problem between model contour parts and image edge fragments. We propose a novel solution by treating this problem as the problem of finding dominant sets in weighted graphs. The nodes of the graph are pairs composed of model contour...
point cloud;sampling strategy;semantic-guided farthest point sampling(S-FPS);plug-in module;point binary segmentation 3. 动机 作者发现,现有的point-based 3D目标检测中,常用SA模块对于context信息描述的效率不高。一般而言,SA模块先选择keypoints,再根据每个keypoints的周围点编码context representations。然而,在选...
Region-based Segmentation and Object Detection基于区域的分割和目标检测 热度: 基于邻域粗糙集与KNN的网络入侵检测 Network Intrusion Detection Based on Neighborhood Rough Set and KNN 热度: 目标分类和目标检测综述(2D和3D数据) A survey of Object Classification and Detection based on 2D_3D data ...
PointTinyBenchmark is an open source toolbox for object localization and detection tasks on top ofmmdetection. To date, It implements the following benchmark and algorithms: Scale Match for TinyPerson Detection (WACV2020)Detail Object Localization under Single Coarse Point Supervision (CVPR2022)Detail...